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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef SMOOTH_L1_LOSS_OP_H_
#define SMOOTH_L1_LOSS_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context>
class SmoothL1LossOp final : public Operator<Context> {
public:
SmoothL1LossOp(const OperatorDef& operator_def, Workspace* ws)
: Operator<Context>(operator_def, ws),
beta_(this->template GetSingleArgument<float>("beta", 1.)),
scale_(this->template GetSingleArgument<float>("scale", 1.)) {
CAFFE_ENFORCE(beta_ > 0);
CAFFE_ENFORCE(scale_ >= 0);
}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override {
// No CPU implementation for now
CAFFE_NOT_IMPLEMENTED;
}
protected:
float beta_; // Transition point from L1 to L2 loss
float scale_; // Scale the loss by scale_
Tensor buff_{Context::GetDeviceType()}; // Buffer for element-wise differences
};
template <typename T, class Context>
class SmoothL1LossGradientOp final : public Operator<Context> {
public:
SmoothL1LossGradientOp(const OperatorDef& def, Workspace* ws)
: Operator<Context>(def, ws),
beta_(this->template GetSingleArgument<float>("beta", 1.)),
scale_(this->template GetSingleArgument<float>("scale", 1.)) {
CAFFE_ENFORCE(beta_ > 0);
CAFFE_ENFORCE(scale_ >= 0);
}
USE_OPERATOR_CONTEXT_FUNCTIONS;
bool RunOnDevice() override {
// No CPU implementation for now
CAFFE_NOT_IMPLEMENTED;
}
protected:
float beta_; // Transition point from L1 to L2 loss
float scale_; // Scale the loss by scale_
Tensor buff_{Context::GetDeviceType()}; // Buffer for element-wise differences
};
} // namespace caffe2
#endif // SMOOTH_L1_LOSS_OP_H_
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